Your wellness brand is
invisible to AI. We fix that.
For founder-led supplement and peptide brands, the AI assistant is now the first place a buyer asks what to take — and it names two-to-four brands per answer. We build and run the system that makes yours one of them, then keeps you cited.
The recommendation moment moved — and it doesn't show you the click it cost you.
A year ago, a customer Googled "best supplement for sleep," scrolled, compared, and maybe found you on page one. Today she asks an assistant, and it answers in a sentence: three brands, named, with reasons. There is no page two. There is no scroll. You are either in the sentence or you are not in the consideration set at all.
This is brutal for good brands with bad machine-legibility. Your formulation can be best-in-class and the assistant still won't name you — because it can't read a PDF spec sheet, an image-only label, or claims buried in marketing prose. It reads structured, sourced, answer-shaped facts. Most supplement sites give it almost none.
Not invisibility — mis-description. The engines have a picture of the brand. It's thin, dated, or assembled from a competitor's framing and a reseller's page. The fix isn't "more content." It's a structured truth the machine can actually read.
"Best product" stopped being enough the moment the buyer started asking a machine.The wellness-DTC wedge, in one line
The AI visibility system, for your catalog.
Four parts, built as one operated system — not four tools you have to stitch together and babysit.
A brand ontology AI can read
We model your products, ingredients, claims, dosages and differentiators as a knowledge graph — the structured truth an assistant needs to describe you correctly instead of guessing or skipping you.
GraphRAG · Neo4j · entity layerAnswer-shaped content, operated
The questions your buyers actually ask an assistant — "best magnesium for sleep," "is X peptide legit" — answered on your owned surfaces in the fact-dense, extractable format AI engines cite. Published continuously, on brand, run for you.
Content engine · always-onCompliance-aware by construction
Supplements and peptides live under real claim rules. The system is built to stay inside them — structured claims, sourced statements, a human gate on anything sensitive. We tell you plainly what we will not let AI assert.
Structured claims · human-in-the-loopA visibility dashboard that climbs
Citation share-of-voice, source inclusion, recommendation rank — tracked across ChatGPT, Perplexity and Google AI so the system's effect on the only metric that matters is visible, not asserted.
Share-of-voice · tracked weeklyA founder-led peptide brand, made legible to AI.
Anonymised at the client's preference — the pattern is what's instructive, and it's the one we see again and again in this niche.
The problem
A respected founder-led peptide brand with a loyal base and genuine formulation depth. Asked to recommend in the category, the major assistants either skipped it or described it from a reseller's thin page — competitors with worse products but better machine-legibility owned the answer.
The system we built
A brand ontology of every product, peptide, claim and dosage as a knowledge graph; an operated content engine answering the exact questions buyers put to assistants, in extractable form; and a human-gated compliance layer so nothing sensitive ships unreviewed. Built in a focused sprint, then run.
The outcome
The brand moved from absent-or-misstated to correctly described and named among the recommended set in its core queries across the assistants we track — and, because it's a system we operate, that position is maintained as models update rather than decaying. The visibility dashboard is now a standing scoreboard, not a one-off report.
We don't publish invented numbers. The audit will show you your starting position in hard figures — that's the honest version of proof.
Why a knowledge graph, not just more blog posts.
Vector search alone fluently states wrong things about your brand. A graph gives the engine the relationships — this peptide, this dosage, this contraindication, this claim — so the answer is right, not just confident.
Right, not just fluent
Embeddings retrieve similar text; a graph encodes true relationships. For regulated wellness claims, "fluent and wrong" is a liability — the graph is how we make it "accurate and cited."
Your asset, your IP
The ontology is yours. It outlives any single model or platform, and it's the substrate every future AI surface — search, assistants, your own site agent — reads from.
Maintained as models shift
AI search is a moving target. Because we run the engine, your position is defended as the models change — not snapshotted once and left to rot.
Want the technical version? See Brand Ontology & GraphRAG and AI Brand Visibility.
Questions, answered straight.
Why does AI visibility matter for a supplement brand specifically?
For wellness, the AI assistant is now the first reference point for "what should I take for X." When a buyer asks ChatGPT to recommend a magnesium or a GLP-1 support stack, it names a handful of brands. If yours isn't modelled in a way the engine can read, you are not in that handful — regardless of how good the product is.
Is my brand actually invisible, or just ranking lower?
That's exactly what the $1,500 AI Brand Audit measures. The honest answer is usually "mis-described, not invisible" — the engines have some picture of you, it's just wrong, thin, or built from a competitor's framing. We diagnose the architecture, not guess.
What about claims compliance?
It's built into the system, not bolted on. Claims are structured and sourced, anything sensitive passes a human gate, and we state up front what we will not let the system assert. A studio that says "AI handles compliance for you" is selling; we keep a person accountable for it.
Do you build it, or do I have to run it?
We build and run it. The on-ramp is the audit, the build is a fixed-scope System Sprint, and the Operating Partner tier means we operate the engine for you. It's 100% your IP — take it in-house whenever you want.
Find out how AI describes your brand today.
Then own the answer.
The $1,500 AI Brand Audit measures your real starting position across ChatGPT, Perplexity and Google AI — and hands you the roadmap to fix it.